Bachelor of Science [B.S] [Mathematics for Data Science] From Brunel University

London, EnglandLocation
UniversitySchool type
Estd1966established year
10979enrollment
Public
Partner [8 Courses]
7.1/10

Bachelor of Science [B.S] (Mathematics for Data Science)

3 years
Full Time
On Campus
Ranked #401 out of 1502 by THE Global Ranking 2023

$28,701 /Yr

£21,260 /Yr

Tuition Fees

Year1st Year Fees
Tuition Fees$28701 (GBP 21260)

Other Expenses

HeadAvg Cost Per Year
Housing (On-Campus)$15228 (GBP 11280)
Housing (off campus, not including bills)$9072 (GBP 6720)

Previous Year Tuition Fees

Year1st Year Fees
2023$28985 (GBP 21470)

Important Dates

EventApplication Date
Course Start Date For 2025 Intake Sep 14, 2025
UCAS Application Deadline For 2025 Intake Jan 29, 2025
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Collegedunia Team

Content Curator | Updated 3+ months ago

  • Bachelor of Engineering in Mathematics for Data Science at Brunel University is offered as a 3-year program.Explore: Study in UK
  • This programme brings together a range of techniques that modern data analyst needs. 
  • This course focus on fundamental study in mathematics, statistics, data analysis and computing, and tackle a variety of interesting and engaging problems from business and industry. A good grounding in all these subjects is essential for creating and using algorithms and systems that identify patterns and extract value from masses of data.
  • This course also learn same important topic like linear algebra, nonlinear activation functions, vector calculus chain rule for gradients, and steepest descent optimisation with sampling. These fundamental building blocks will be brought together in theory and in software so that you will be able to build your own deep learning neural net, and be able to explain the function of every part of the algorithm.
  • This course is formed of eight taught modules, here are some of the main courses that students will study in this program are:
    • Calculus
    • Elements of Applied Mathematics
    • Linear Algebra
    • Probability and Statistics I
    • Discrete Mathematics and Operational Research
    • Multivariable Calculus
    • Mathematics of Deep Learning
    • Probability and Statistics II
    • Statistical Programming for Data Analytics
    • Statistical Data Science and Machine Learning
    • Decision Making in the Face of Risk
    • Design and Regression
  • This course will also develop key graduate skills such as problem-solving and communication, with a third of the credits at each level based on project-oriented work where students will develop their knowledge, professionalism and creativity in a supportive environment.

Scores Required

6.5 / 9

Avg. Score in

IELTS

90 / 120

Avg. Score in

TOEFL

59 / 90

Avg. Score in

PTE

3.0 / 4

Minimum gpa

GPA


Required Document List

  • Resume/CV - This provides a summary of a student's experience and skills.
  • College Transcripts - The marks statement provided by the education board after completion of bachelor's and higher secondary degree.
  • Statement of marks - The marks statement provided by the education board.
  • Financial Documentation - The Proof that shows the financial background of the student.
  • Letter of Recommendation - This shows who recommended the student to pursue the degree.
  • Statement of Purpose - This is an essay or any written statement written by the student while applying.
  • ELP Scores: Students have to submit their English language proficiency scores like IELTS, TOEFL, or other test scores.


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